{"id":"W2109709592","doi":"10.1016/j.enggeo.2008.06.016","title":"CAT-scan analysis of sedimentary sequences: An ultrahigh-resolution paleoclimatic tool","year":2008,"lang":"en","type":"article","venue":"Engineering Geology","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada; Institut Polaire Français Paul Emile Victor; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Geology; Sedimentary rock; Paleoclimatology; Holocene; Context (archaeology); Climatology; Estuary; Spectral analysis; Climate change; North Atlantic oscillation; Oceanography; Paleontology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005278093,0.0004523021,0.0003306274,0.003667097,0.0004172155,0.001035965,0.0005751259,0.0005370099,0.004412972],"category_scores_gemma":[0.001170144,0.0003582269,0.0003767636,0.002661897,0.000224383,0.0006668767,0.000601295,0.0002714808,0.0008225639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001908348,"about_ca_system_score_gemma":0.000692512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00436338,"about_ca_topic_score_gemma":0.00954188,"domain_scores_codex":[0.999846,0.00002415684,0.00001306001,0.00004033917,0.00005445801,0.00002187665],"domain_scores_gemma":[0.9991412,0.0002633646,0.00008147358,0.0001184212,0.0003322555,0.00006320485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006380266,0.0001265371,0.07416959,0.0006041469,0.00032412,0.000869464,0.0005299383,0.008159761,0.4087675,0.004618252,0.006557668,0.494635],"study_design_scores_gemma":[0.0001355924,0.0002936966,0.2399292,0.0001493054,0.000501509,0.003471151,0.001027092,0.463823,0.2171014,0.01254166,0.06082778,0.0001986885],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.329937,0.001377783,0.6429321,0.0002775264,0.00007618778,0.000240517,0.006515506,0.007808696,0.01083464],"genre_scores_gemma":[0.555553,0.0006661938,0.4326486,0.0001584567,0.00006790962,0.0001828679,0.00567669,0.0006063218,0.004440039],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004412972,"threshold_uncertainty_score":0.01476288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01679075896404383,"score_gpt":0.2201509970431674,"score_spread":0.2033602380791235,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}